Does the way customers phrase a question change which sources AI search cites?

Does the phrasing of a question change which sources AI search cites?

Yes, sharply, in a controlled 2026 test of hotel questions. Zhu and Chang (opens in a new tab) asked Gemini 2.5 Flash, with Google Search turned on, 156 questions about Tokyo hotels in March 2026. They collected 1,357 citations.

Each question came in a matched pair. One was booking-style, such as “Cheap hotel in Shinjuku”. The other described the same need as an experience, such as “Good value hotel with local charm in Shinjuku”. Only the framing changed, not the area, need or language.

The booking-style questions leaned on booking sites such as Booking.com, Expedia and Japanese equivalents. In the authors’ words, non-OTA sources account for 55.9% of experiential citations (419 of 750) but only 30.8% of transactional citations (187 of 607). OTA stands for online travel agency, the booking sites. A supplementary set of 20 experience-style questions that booking-site reviews could answer still drew 54.0% non-booking citations.

Did the shift hold across different kinds of buyer need?

Yes: all four need categories showed it, with gaps between 19.0 and 28.4 points.

Share of citations from sources other than booking sites. Budget questions were the most locked to booking sites, which fits their price-comparison strength. Business questions showed the largest gap, driven by coworking review sites, hotel websites describing workspaces, and business travel content.

Language mattered too. For Japanese-language experience questions, 62.1% of citations came from non-booking sources. The authors link this to a richer Japanese-language web of travel agencies, coworking sites and hotel pages.

Who gains when the question changes?

Mostly travel blogs and editorial sites, not the businesses’ own websites. In English, the non-booking citations were dominated by travel blogs (22.9%) and editorial curation sites (22.5%).

Hotel websites themselves did not gain from the shift in framing. In English, hotel-direct citation rates were 8.0% for booking-style questions and 8.3% for experience-style ones. What separated cited hotels was the depth of their content. In an exploratory check of 14 hotel websites, cited hotels averaged 8.6/15 on a content-depth score, against 3.4/15 for hotels that were not cited.

One example stands out. A small independent hotel with a 33-question FAQ and a 13-attraction sightseeing guide was cited directly. A design hotel with good ratings but brief pages was named, yet Gemini took its information from booking and editorial sites instead. We tell that story in our guide to deep content without technical SEO.

Does this happen outside hotels?

The direction appears elsewhere, though the evidence is thinner. In a 2025 study, Chen and colleagues (opens in a new tab) grouped consumer questions by intent. They report that brand-owned content rose in prominence for purchase-ready questions such as “Buy iPhone 15 online”. Comparison questions such as “Garmin vs Apple Watch” leaned on reviews and publishers. They give these as charts, not exact shares.

Our own data shows wording changing which kinds of sources Google’s AI cites. In our Reddit study, question wordings cited Reddit in 35.6% of their AI Overviews, against 21.1% for the plain keywords that day. They rarely cited the same thread, though.

Do small wording changes matter too?

Yes, for Google’s AI Overviews, even trivial edits shift the sources. Grossman and colleagues (opens in a new tab) made cosmetic edits to 200 queries, such as “what is” versus “what’s” or adding a question mark. They then compared the sources Google returned with those from simply rerunning the original query.

For AI Overviews, agreement between the sources fell by 28.99% compared with a plain rerun. Google’s regular results fell by 13.95% and Gemini by 3.85%. In other words, Google’s AI summary was the most sensitive of the three to wording that changes nothing about meaning.

Chen and colleagues found the opposite pattern for AI chat engines on rephrased ranking questions. ChatGPT, Perplexity and Gemini were steadier across paraphrases than Google’s regular results. The engines do not all react to wording the same way.

Does phrasing change whether an AI answer appears at all?

Yes, strongly: questions trigger far more AI Overviews than short keywords. Xu and colleagues (opens in a new tab) studied 55,393 trending queries. Question-form queries trigger AIOs at 64.7% versus 9.5% for non-question queries.

Our AI Overview study tested the same 96 commercial topics three ways. As written, 59.4% showed an AI Overview; as a long non-question form, 87.5%; as a natural question, 93.8%. Most of the lift came from longer, more specific wording, not the question mark itself. The full pattern is in our guide to which searches trigger AI Overviews.

What does the AI actually search for?

Its own rewritten searches, not your customer’s words. In our hidden searches study, none of the 509 searches repeated the user’s question word for word. ChatGPT ran a mean of 3.7 searches per answer.

What it searched for shaped what it cited. ChatGPT looked for reviews in 46.2% of answers and prices in 23.8%. When a search named a source such as NerdWallet, the answer cited that source 44.0% of the time, against 8.1% in similar answers that did not name it.

Phrasing also moves the brands recommended. In our prompt phrasing study, asking the identical question again kept the same first brand 68.0% of the time, but adding “on a tight budget” kept it only 15.3%. Loaded wording raises a related question, covered in our guide on AI answers and leading questions.

What should you do about it?

Plan content around the different ways buyers describe the same need, not one keyword.

1. Collect real phrasings. Ask sales and support teams how customers describe the problem: by price, by experience, by situation. Each phrasing can pull different sources.
2. Test both framings. Run booking-style and experience-style versions of your key questions in the AI engines your buyers use. Note which sources appear for each.
3. Go deep on your own pages. In the hotel study, depth separated cited hotel websites from uncited ones: real FAQs, area guides and specific details, not thin feature pages.
4. Earn coverage where experience questions lead. If experience-style questions cite blogs and editorial sites in your category, those are the places to be reviewed and described accurately.
5. Measure across wordings and repeat. A single phrasing on a single day is a snapshot. Small edits changed Google’s AI sources more than reruns did.

For a structured way to map and track these phrasings, see our generative engine optimization service.

What does the research not tell us yet?

The central finding rests on one engine, one city and one industry.

• One engine and one moment. The hotel study used Gemini 2.5 Flash with Google Search, in March 2026, mostly with one run per question. The authors note other engines search different indexes and may behave differently.
• One market. Tokyo has an unusually rich web of non-booking content, in two languages. Cities or industries with thinner content may show a smaller gap.
• Company research. The hotel study’s authors work at a private AI company, and the paper is a preprint.
• Correlation, not cause. The content-depth check covered only 14 hotels, and no study here changed a website and measured the result.
• Discovery, not sales. None of these studies measured whether the cited source changed where people bought.

Frequently asked questions

Do AI search engines cite different sources for “best” and “cheap” questions?

Often yes. In the hotel study, budget questions drew 15.5% of citations from non-booking sources when phrased for booking, and 42.5% when phrased as an experience.

Should I write content for questions or for keywords?

Write for the needs buyers describe, in their words. Question-style searches trigger more AI Overviews, but our study did not show that question-shaped content itself earns more citations.

Does ChatGPT search for the exact question my customer typed?

No. In our study, none of 509 searches by ChatGPT, Gemini and Claude repeated the user’s question word for word; the assistants wrote their own searches.

Why do AI answers about my category change from one search to the next?

Partly because wording shifts sources. In one study, cosmetic edits cut the agreement between AI Overview source lists by 28.99% compared with a plain rerun.

Sources

• Zhu and Chang (2026), The End of Rented Discovery: How AI Search Redistributes Power Between Hotels and Intermediaries (opens in a new tab), arXiv:2603.20062.
• Grossman, Liu, Chen, Smith, Borcea and Chen (2026), How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews (opens in a new tab), arXiv:2604.27790.
• Xu, Iqbal and Montgomery (2026), Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact (opens in a new tab), arXiv:2605.14021.
• Chen, Wang, Chen and Koudas (2025), Generative Engine Optimization: How to Dominate AI Search (opens in a new tab), arXiv:2509.08919.
• Underneath (2026), When does Google show an AI Overview?
• Underneath (2026), The hidden searches AI assistants run before they answer
• Underneath (2026), When does a Reddit thread become evidence in Google’s AI?
• Underneath (2026), Does rewording a question change AI brand recommendations?